The Arithmetic of Machine Decision : How to Find the Symmetries of Complete Chaos

Authors

  • Olivier Bartheye CREA, French Air and Space Force Academy, Salon-de-Provence, France
  • Laurent Chaudron Theorik-Lab, Tour Saint-Martin, Vernegues, France

DOI:

https://doi.org/10.1609/aaaiss.v3i1.31171

Keywords:

Human-Computer Interaction

Abstract

This present work is deliberately placed in the context capable of defining the requirements expressed by machine decision-making calculations. The informational nature of a decision requires abandoning any invariant preserving the structure but on the contrary switching into total chaos, a necessary and sufficient condition for exploiting the symmetries allowing the calculation to converge. Decision arithmetic is the best way to precisely define the nature of these symmetries.

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Published

2024-05-20

Issue

Section

Bi-directionality in Human-AI Collaborative Systems